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» Models of active learning in group-structured state spaces
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NECO
2002
104views more  NECO 2002»
13 years 10 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen
CVPR
2006
IEEE
15 years 26 days ago
The Function Space of an Activity
An activity consists of an actor performing a series of actions in a pre-defined temporal order. An action is an individual atomic unit of an activity. Different instances of the ...
Ashok Veeraraghavan, Amit K. Roy Chowdhury
ICALT
2009
IEEE
14 years 5 months ago
Learning Activity Spaces: Towards Flexibility in Learning Design?
Designing a computer-supported learning scenario involving a constructivist approach of learning lays on a paradox. On the one hand, learning flows must be precisely described –...
Anne Lejeune, Muriel Ney, Armin Weinberger, Margus...
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
14 years 5 months ago
Autonomous blimp control using model-free reinforcement learning in a continuous state and action space
— In this paper, we present an approach that applies the reinforcement learning principle to the problem of learning height control policies for aerial blimps. In contrast to pre...
Axel Rottmann, Christian Plagemann, Peter Hilgers,...
LEGE
2004
171views Education» more  LEGE 2004»
14 years 7 days ago
The Model of Collaborative Learning GRID to activate interactivity for Knowledge Building
The purpose of this study is to support the learning activity in the Internet learning space. In this paper, we examine the GRID technology as the knowledge management for support...
Toshio Okamoto, Mizue Kayama